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# Data Engineer

- **Company:** Robert Half
- **Location:** Oskaloosa, IA, United States
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Continuous Integration, Information Engineering, Data Governance, Data Structures, Data Systems, Data Warehousing, Industry Standard Architecture, Meta-Data Management, Performance Tuning, Power BI, DataOps, Git, Data Layers, Microsoft Fabric, Data Lakes, Semantic Modeling, Sql Tuning
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3468465152&tx=TT4239TTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Core Qualifications

 * Strong experience with data modeling and semantic modeling
 * Hands-on experience with Microsoft Fabric, Azure, and Power BI
 * Advanced SQL development and performance optimization skills
 * Experience with Git, CI/CD, and modern data engineering practices
 * Ability to translate business requirements into scalable technical solutions
 * Experience developing enterprise data pipelines and analytics platforms
 * A plus if you have data governance, data warehouse, data lake and or DBT experience.

## Description

Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution?, A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges.

This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.

What You'll Do

 * Design and develop scalable data models, semantic layers, and enterprise data solutions
 * Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives
 * Develop and optimize cloud-based data pipelines and integrations
 * Improve data governance, lineage, metadata management, and observability practices
 * Create automated data quality and validation frameworks
 * Implement CI/CD processes and modern DataOps best practices
 * Optimize SQL performance across warehouses, lakehouses, and reporting environments
 * Partner with analysts and business stakeholders to transform complex problems into actionable solutions
 * Contribute to technical standards, mentoring, documentation, and architectural best practices